The Energy-Water-Food Nexus Architecture for the Optimal Resource Allocation

被引:0
作者
Rasheed, Muhammad Babar [1 ]
R-Moreno, Maria D. [1 ]
机构
[1] Univ Alcala, Escuela Politecn Super, Madrid 28805, Spain
来源
2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGY EUROPE (ISGT EUROPE 2021) | 2021年
关键词
Nonlinear optimization; energy-water-food nexus; water distribution network; power flow; water flow;
D O I
10.1109/ISGTEUROPE52324.2021.9639906
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
For sustainable development, potable water, green energy, and fresh food are essential resources that are required by any society. Much devotion is given to energy and water infrastructures due to an interlinked networked system of global concerns under the energy-water-food (EWF) nexus paradigm. Generally, these infrastructure systems deliver power and water through separate and uncoupled systems. However, these are coupled infrastructures serving in their respective domains. Considering these interdependent networked systems, the power, water, and food infrastructures required joint optimization. In this regard, a joint optimization program has been developed to optimally allocate the energy and water that includes power, water, and co-generation facilities. Therefore, a mathematical optimization program for simultaneous co-dispatch of power and water from power generation, water production, and co-generation facilities is first developed. This optimization model runs considering production, demand, transmission, and process limits. Furthermore, the inclusion of a co-generation facility helps in alleviating the binding constraints and leads to flat power generation and water production with reduced cost. Moreover, the proposed model is designed to follow a systematic approach in achieving the optimal results without violating the limits based on which the plants can easily achieve optimal control. For simulation, we use IEEE standard bus, Hanoi water distribution, and food systems and used a nonlinear optimization with a CPLEX solver. Results show that the optimal resource allocation with fair cost reduction is achieved.
引用
收藏
页码:180 / 184
页数:5
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